受强制性开放获取政策约束的文章 - Boris Belousov了解详情
无法在其他位置公开访问的文章：3 篇
Robotic architectural assembly with tactile skills: Simulation and optimization
B Belousov, B Wibranek, J Schneider, T Schneider, G Chalvatzaki, ...
Automation in Construction 133, 104006, 2022
强制性开放获取政策： European Commission
Evaluating the Robustness of HJB Optimal Feedback Control
M Lutter, D Clever, B Belousov, K Listmann, J Peters
ISR 2020; 52th International Symposium on Robotics, 1-8, 2020
强制性开放获取政策： European Commission
Improving Sample Efficiency of Example-Guided Deep Reinforcement Learning for Bipedal Walking
R Galljamov, G Zhao, B Belousov, A Seyfarth, J Peters
2022 IEEE-RAS 21st International Conference on Humanoid Robots (Humanoids …, 2022
强制性开放获取政策： German Research Foundation, European Commission
可在其他位置公开访问的文章：17 篇
Self-paced contextual reinforcement learning
P Klink, H Abdulsamad, B Belousov, J Peters
Conference on Robot Learning, 513-529, 2020
强制性开放获取政策： German Research Foundation, European Commission
Learn2assemble with structured representations and search for robotic architectural construction
N Funk, G Chalvatzaki, B Belousov, J Peters
Conference on Robot Learning, 1401-1411, 2022
强制性开放获取政策： German Research Foundation, European Commission
Catching heuristics are optimal control policies
B Belousov, G Neumann, CA Rothkopf, J Peters
NIPS, 1426-1434, 2016
强制性开放获取政策： European Commission
Entropic risk measure in policy search
D Nass, B Belousov, J Peters
2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019
强制性开放获取政策： European Commission
Neural posterior domain randomization
F Muratore, T Gruner, F Wiese, B Belousov, M Gienger, J Peters
Conference on Robot Learning, 1532-1542, 2022
强制性开放获取政策： European Commission
HJB optimal feedback control with deep differential value functions and action constraints
M Lutter, B Belousov, K Listmann, D Clever, J Peters
Conference on Robot Learning, 640-650, 2020
强制性开放获取政策： European Commission
Entropic Regularization of Markov Decision Processes
B Belousov, J Peters
Entropy 21 (7), 2019
强制性开放获取政策： European Commission
A probabilistic interpretation of self-paced learning with applications to reinforcement learning
P Klink, H Abdulsamad, B Belousov, C D'Eramo, J Peters, J Pajarinen
Journal of Machine Learning Research 22 (182), 1-52, 2021
强制性开放获取政策： German Research Foundation, European Commission
Receding horizon curiosity
M Schultheis, B Belousov, H Abdulsamad, J Peters
Conference on robot learning, 1278-1288, 2020
强制性开放获取政策： European Commission
Building a Library of Tactile Skills Based on FingerVision
B Belousov, A Sadybakasov, B Wibranek, F Veiga, O Tessmann, J Peters
2019 IEEE-RAS 19th International Conference on Humanoid Robots (Humanoids), 2019
强制性开放获取政策： European Commission
Reinforcement Learning for Sequential Assembly of SL-Blocks: Self-Interlocking Combinatorial Design Based on Machine Learning
B Wibranek, Y Liu, N Funk, B Belousov, J Peters, O Tessmann
Proceedings of the 39th eCAADe Conference 1, 27-36, 2021
强制性开放获取政策： European Commission
Visual tactile sensor based force estimation for position-force teleoperation
Y Zhu, S Nazirjonov, B Jiang, J Colan, T Aoyama, Y Hasegawa, ...
2022 IEEE International Conference on Cyborg and Bionic Systems (CBS), 49-52, 2023
强制性开放获取政策： 国家自然科学基金委员会, Japan Science and Technology Agency
Underactuated waypoint trajectory optimization for light painting photography
C Eilers, J Eschmann, R Menzenbach, B Belousov, F Muratore, J Peters
2020 IEEE International Conference on Robotics and Automation (ICRA), 1505-1510, 2020
强制性开放获取政策： European Commission
Reinforcement learning for athletic intelligence: Lessons from the 1st “ai olympics with realaigym” competition,”
F Wiebe, N Turcato, A Dalla Libera, C Zhang, T Vincent, S Vyas, ...
Proceedings of the Thirty-Third International Joint Conference on Artificial …, 2024
强制性开放获取政策： Federal Ministry of Education and Research, Germany
Active exploration for robotic manipulation
T Schneider, B Belousov, G Chalvatzaki, D Romeres, DK Jha, J Peters
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022
强制性开放获取政策： German Research Foundation, Federal Ministry of Education and Research, Germany
Belief space model predictive control for approximately optimal system identification
B Belousov, H Abdulsamad, M Schultheis, J Peters
4th Multidisciplinary Conference on Reinforcement Learning and Decision Making, 2019
强制性开放获取政策： European Commission
Mean squared advantage minimization as a consequence of entropic policy improvement regularization
B Belousov, J Peters
14th European Workshop on Reinforcement Learning, 2018
强制性开放获取政策： European Commission
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